Optimization of a Photovoltaic Station for Charging Electric Vehicles

Saul Beltozar Clemente; Winy Livet Herrera Escandon; Orlando Iparraguirre-Villanueva; Joselyn Zapata-Paulini; Michael Cabanillas-Carbonell

doi:10.1007/978-981-99-3043-2_80

Optimization of a Photovoltaic Station for Charging Electric Vehicles

Saul Beltozar Clemente
, Winy Livet Herrera Escandon
, Orlando Iparraguirre-Villanueva
, Joselyn Zapata-Paulini
, Michael Cabanillas-Carbonell

Universidad Científica del Sur
Universidad Nacional de Educación Enrique Guzmán y Valle
Universidad Autónoma del Perú
Universidad Continental

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

The constant struggle to reduce greenhouse gas emissions caused by internal combustion vehicles makes electromobility a latent alternative solution. The main difficulty in its implementation is the scarce or non-existent presence of solar charging stations for electric vehicles in all regions. This paper illustrates the design optimization and simulation of an electric vehicle charging station that integrates solar energy. An optimal design of the charging station with MPPT, PID controllers, as well as current control strategies, is shown. The design took into account the dynamic needs such as the geographical area of maximum irradiance using PV GIS, an optimal system with PVsyst, the design, and simulation of the charging station showing the dynamic values of power versus time, as well as current versus time, validated by MATLAB/Simulink. After sizing it was obtained that the optimal charging station should have 3 photovoltaic systems of 19 modules distributed in 5 strings each, providing an average daily electrical power of 684 kWh.

Original language	English
Title of host publication	Proceedings of 8th International Congress on Information and Communication Technology - ICICT 2023
Editors	Xin-She Yang, R. Simon Sherratt, Nilanjan Dey, Amit Joshi
Pages	963-973
Number of pages	11
DOIs	https://doi.org/10.1007/978-981-99-3043-2_80
State	Published - 2024
Event	8th International Congress on Information and Communication Technology, ICICT 2023 - London, United Kingdom Duration: 20 Feb 2023 → 23 Feb 2023

Publication series

Name	Lecture Notes in Networks and Systems
Volume	695 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	8th International Congress on Information and Communication Technology, ICICT 2023
Country/Territory	United Kingdom
City	London
Period	20/02/23 → 23/02/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Charging station
Electric vehicles
Photovoltaic
Solar energy

Access to Document

10.1007/978-981-99-3043-2_80

Cite this

Clemente, S. B., Escandon, W. L. H., Iparraguirre-Villanueva, O., Zapata-Paulini, J., & Cabanillas-Carbonell, M. (2024). Optimization of a Photovoltaic Station for Charging Electric Vehicles. In X.-S. Yang, R. S. Sherratt, N. Dey, & A. Joshi (Eds.), Proceedings of 8th International Congress on Information and Communication Technology - ICICT 2023 (pp. 963-973). (Lecture Notes in Networks and Systems; Vol. 695 LNNS). https://doi.org/10.1007/978-981-99-3043-2_80

Clemente, Saul Beltozar ; Escandon, Winy Livet Herrera ; Iparraguirre-Villanueva, Orlando et al. / Optimization of a Photovoltaic Station for Charging Electric Vehicles. Proceedings of 8th International Congress on Information and Communication Technology - ICICT 2023. editor / Xin-She Yang ; R. Simon Sherratt ; Nilanjan Dey ; Amit Joshi. 2024. pp. 963-973 (Lecture Notes in Networks and Systems).

@inproceedings{b59a8264222d4eaaab2db881aa10347a,

title = "Optimization of a Photovoltaic Station for Charging Electric Vehicles",

abstract = "The constant struggle to reduce greenhouse gas emissions caused by internal combustion vehicles makes electromobility a latent alternative solution. The main difficulty in its implementation is the scarce or non-existent presence of solar charging stations for electric vehicles in all regions. This paper illustrates the design optimization and simulation of an electric vehicle charging station that integrates solar energy. An optimal design of the charging station with MPPT, PID controllers, as well as current control strategies, is shown. The design took into account the dynamic needs such as the geographical area of maximum irradiance using PV GIS, an optimal system with PVsyst, the design, and simulation of the charging station showing the dynamic values of power versus time, as well as current versus time, validated by MATLAB/Simulink. After sizing it was obtained that the optimal charging station should have 3 photovoltaic systems of 19 modules distributed in 5 strings each, providing an average daily electrical power of 684 kWh.",

keywords = "Charging station, Electric vehicles, Photovoltaic, Solar energy",

author = "Clemente, \{Saul Beltozar\} and Escandon, \{Winy Livet Herrera\} and Orlando Iparraguirre-Villanueva and Joselyn Zapata-Paulini and Michael Cabanillas-Carbonell",

note = "Publisher Copyright: {\textcopyright} 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 8th International Congress on Information and Communication Technology, ICICT 2023 ; Conference date: 20-02-2023 Through 23-02-2023",

year = "2024",

doi = "10.1007/978-981-99-3043-2\_80",

language = "English",

isbn = "9789819930425",

series = "Lecture Notes in Networks and Systems",

pages = "963--973",

editor = "Xin-She Yang and Sherratt, \{R. Simon\} and Nilanjan Dey and Amit Joshi",

booktitle = "Proceedings of 8th International Congress on Information and Communication Technology - ICICT 2023",

}

Clemente, SB, Escandon, WLH, Iparraguirre-Villanueva, O, Zapata-Paulini, J & Cabanillas-Carbonell, M 2024, Optimization of a Photovoltaic Station for Charging Electric Vehicles. in X-S Yang, RS Sherratt, N Dey & A Joshi (eds), Proceedings of 8th International Congress on Information and Communication Technology - ICICT 2023. Lecture Notes in Networks and Systems, vol. 695 LNNS, pp. 963-973, 8th International Congress on Information and Communication Technology, ICICT 2023, London, United Kingdom, 20/02/23. https://doi.org/10.1007/978-981-99-3043-2_80

Optimization of a Photovoltaic Station for Charging Electric Vehicles. / Clemente, Saul Beltozar; Escandon, Winy Livet Herrera; Iparraguirre-Villanueva, Orlando et al.
Proceedings of 8th International Congress on Information and Communication Technology - ICICT 2023. ed. / Xin-She Yang; R. Simon Sherratt; Nilanjan Dey; Amit Joshi. 2024. p. 963-973 (Lecture Notes in Networks and Systems; Vol. 695 LNNS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Optimization of a Photovoltaic Station for Charging Electric Vehicles

AU - Clemente, Saul Beltozar

AU - Escandon, Winy Livet Herrera

AU - Iparraguirre-Villanueva, Orlando

AU - Zapata-Paulini, Joselyn

AU - Cabanillas-Carbonell, Michael

PY - 2024

Y1 - 2024

N2 - The constant struggle to reduce greenhouse gas emissions caused by internal combustion vehicles makes electromobility a latent alternative solution. The main difficulty in its implementation is the scarce or non-existent presence of solar charging stations for electric vehicles in all regions. This paper illustrates the design optimization and simulation of an electric vehicle charging station that integrates solar energy. An optimal design of the charging station with MPPT, PID controllers, as well as current control strategies, is shown. The design took into account the dynamic needs such as the geographical area of maximum irradiance using PV GIS, an optimal system with PVsyst, the design, and simulation of the charging station showing the dynamic values of power versus time, as well as current versus time, validated by MATLAB/Simulink. After sizing it was obtained that the optimal charging station should have 3 photovoltaic systems of 19 modules distributed in 5 strings each, providing an average daily electrical power of 684 kWh.

AB - The constant struggle to reduce greenhouse gas emissions caused by internal combustion vehicles makes electromobility a latent alternative solution. The main difficulty in its implementation is the scarce or non-existent presence of solar charging stations for electric vehicles in all regions. This paper illustrates the design optimization and simulation of an electric vehicle charging station that integrates solar energy. An optimal design of the charging station with MPPT, PID controllers, as well as current control strategies, is shown. The design took into account the dynamic needs such as the geographical area of maximum irradiance using PV GIS, an optimal system with PVsyst, the design, and simulation of the charging station showing the dynamic values of power versus time, as well as current versus time, validated by MATLAB/Simulink. After sizing it was obtained that the optimal charging station should have 3 photovoltaic systems of 19 modules distributed in 5 strings each, providing an average daily electrical power of 684 kWh.

KW - Charging station

KW - Electric vehicles

KW - Photovoltaic

KW - Solar energy

UR - https://www.scopus.com/pages/publications/85174693887

U2 - 10.1007/978-981-99-3043-2_80

DO - 10.1007/978-981-99-3043-2_80

M3 - Conference contribution

AN - SCOPUS:85174693887

SN - 9789819930425

T3 - Lecture Notes in Networks and Systems

SP - 963

EP - 973

BT - Proceedings of 8th International Congress on Information and Communication Technology - ICICT 2023

A2 - Yang, Xin-She

A2 - Sherratt, R. Simon

A2 - Dey, Nilanjan

A2 - Joshi, Amit

T2 - 8th International Congress on Information and Communication Technology, ICICT 2023

Y2 - 20 February 2023 through 23 February 2023

ER -

Clemente SB, Escandon WLH, Iparraguirre-Villanueva O, Zapata-Paulini J, Cabanillas-Carbonell M. Optimization of a Photovoltaic Station for Charging Electric Vehicles. In Yang XS, Sherratt RS, Dey N, Joshi A, editors, Proceedings of 8th International Congress on Information and Communication Technology - ICICT 2023. 2024. p. 963-973. (Lecture Notes in Networks and Systems). doi: 10.1007/978-981-99-3043-2_80

Optimization of a Photovoltaic Station for Charging Electric Vehicles

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this